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Learning the Parameters of Probabilistic Answer Set Programs
Azzolini, D.; Bellodi, E.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
Springer Science and Business Media Deutschland GmbH,
Inductive Logic Programming. 31st International Conference, ILP 2022.
Vol. 13779, No. 1, pp: 1-14, Anno: 2024 |
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Logic Programming for Knowledge Graph Completion
Azzolini, D.; Bonato, M.; Gentili, E.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
CEUR-WS,
CEUR Workshop Proceedings
Vol. 3733, No. 1, pp: 1-14, Anno: 2024 |
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Machine Learning Approaches for the Prediction of Gas Turbine Transients
NGUEMBANG FADJA, Arnaud; Cota, Giuseppe; Bertasi, Francesco; Riguzzi, Fabrizio; Losi, Enzo; Manservigi, Lucrezia; Venturini, Mauro; Bechini, Giovanni
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Contributo in rivista (Pubblicazione in Rivista) |
JOURNAL OF COMPUTER SCIENCE
Vol. 20, No. 5, pp: 495-510, Anno: 2024 |
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Inference in Probabilistic Answer Set Programming Under the Credal Semantics
Azzolini, Damiano; Riguzzi, Fabrizio
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Atto di Convegno (Proceedings) |
Springer Science and Business Media Deutschland GmbH,
AIxIA 2023 -- Advances in Artificial Intelligence
Vol. 14318, No. 1, pp: 367-380, Anno: 2023 |
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MAP Inference in Probabilistic Answer Set Programs
Azzolini, Damiano; Bellodi, Elena; Riguzzi, Fabrizio
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Atto di Convegno (Proceedings) |
Springer International Publishing,
International Conference of the Italian Association for Artificial Intelligence : AIxIA 2022 – Advances in Artificial Intelligence
Vol. 13796, No. 1, pp: 413-426, Anno: 2023 |
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Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities
Azzolini, Damiano; Bellodi, Elena; Riguzzi, Fabrizio
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Atto di Convegno (Proceedings) |
Springer International Publishing,
International Conference of the Italian Association for Artificial Intelligence : AIxIA 2022 – Advances in Artificial Intelligence
Vol. 13796, No. 1, pp: 33-46, Anno: 2023 |
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Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers
Greco, Salvatore; Salatiello, Alessandro; Fabbri, Nicolò; Riguzzi, Fabrizio; Locorotondo, Emanuele; Spaggiari, Riccardo; DE GIORGI, Alfredo; Passaro, Angelina
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Contributo in rivista (Pubblicazione in Rivista) |
BIOMEDICINES
Vol. 11, No. 3, pp: 831-1-831-18, Anno: 2023 |
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Regularization in Probabilistic Inductive Logic Programming
Gentili, E.; Bizzarri, A.; Azzolini, D.; Zese, R.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
Springer Science and Business Media Deutschland GmbH,
Inductive Logic Programming : 32nd International Conference, ILP 2023, Bari, Italy, November 13–15, 2023, Proceedings
Vol. 14363, No. 1, pp: 16-29, Anno: 2023 |
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Link Prediction in Knowledge Graphs with Probabilistic Logic Programming: Work in Progress
Azzolini, D.; Gentili, E.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
CEUR-WS,
CEUR Workshop Proceedings
Vol. 3437, No. 1, pp: 1-4, Anno: 2023 |
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Lifted inference for statistical statements in probabilistic answer set programming
Azzolini, D.; Riguzzi, F.
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Contributo in rivista (Pubblicazione in Rivista) |
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Vol. 163, No. 1, pp: 109040-109056, Anno: 2023 |
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Automatic Differentiation in Prolog
Schrijvers, T.; Van Den Berg, B.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
Cambridge University Press,
2023 International Conference on Logic Programming
Vol. 23, No. 4, pp: 900-917, Anno: 2023 |
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Summary of Statistical Statements in Probabilistic Logic Programming
Azzolini, D.; Bellodi, E.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
Open Publishing Association,
Electronic Proceedings in Theoretical Computer Science, EPTCS
Vol. 385, No. 1, pp: 384-385, Anno: 2023 |
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Towards a Representation of Decision Theory Problems with Probabilistic Answer Set Programs
Azzolini, D.; Bellodi, E.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
Open Publishing Association,
Electronic Proceedings in Theoretical Computer Science, EPTCS
Vol. 385, No. 1, pp: 190-191, Anno: 2023 |
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Membro dell'editorial board della rivista ACM Computing Surveys
Riguzzi, Fabrizio
Attività collegate alla Ricerca |
Association for Computing Machinery,
ACM COMPUTING SURVEYS
Anno: 2022 |
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Neural Networks and Deep Learning Fundamentals
Zese, Riccardo; Bellodi, Elena; Fraccaroli, Michele; Riguzzi, Fabrizio; Lamma, Evelina
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Contributo in volume |
Springer Cham,
Machine Learning and Non-volatile Memories
pp: 23-42, Anno: 2022 |
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Introduction to Machine Learning
Bellodi, Elena; Zese, Riccardo; Riguzzi, Fabrizio; Lamma, Evelina
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Contributo in volume |
Springer International Publishing,
Machine Learning and Non-volatile Memories
pp: 1-21, Anno: 2022 |
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Semantics for Hybrid Probabilistic Logic Programs with Function Symbols: Technical Summary
Azzolini, D.; Riguzzi, F.; Lamma, E.
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Atto di Convegno (Proceedings) |
CEUR-WS,
CEUR Workshop Proceedings
Vol. 3193, No. 1, pp: 1-5, Anno: 2022 |
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Abduction in (Probabilistic) Answer Set Programming
Azzolini, D.; Bellodi, E.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
CEUR-WS,
Proceedings of the 37th Italian Conference on Computational Logic
Vol. 3204, No. 1, pp: 90-103, Anno: 2022 |
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Exploiting Parameters Learning for Hyper-parameters Optimization in Deep Neural Networks
Fraccaroli, M.; Lamma, E.; Riguzzi, F.
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Atto di Convegno (Proceedings) |
Open Publishing Association,
ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE
Vol. 364, No. 4 August 2022, pp: 143-146, Anno: 2022 |
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Probabilistic Logic Models for the Lightning Network
Azzolini, D.; Riguzzi, F.
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Contributo in rivista (Pubblicazione in Rivista) |
CRYPTOGRAPHY
Vol. 6, No. 2, pp: 29-1-29-21, Anno: 2022 |
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